Different Type of Monkey Testing

October 23rd, 2009 by jignesh.patel § 2

Monkey Testing

Monkey testing is used with fully automated testing tool. This tool doesn’t know how to use any application, so it performs mouse clicks on the screen or keystrokes on the keyboard randomly. The test monkey is technically known to conduct random testing, which is in the category of black-box testing. Below are different types of monkey testing.

  • Dumb monkeys
  • Semi-smart monkeys
  • Smart monkeys

Dumb Monkey Testing

The initial and the lowest level of testing service is called Dumb Monkey Testing, which is run without specific test in mind and often by a person with no or very limited education in testing.

But Dumb Monkey Tester does not mean a person of no intelligence at all, it rather means absence of any planning in the testing process.

Dumb Monkey software testing services:

  • Guesstimate about required time and staff
  • No formal planning and acceptance criteria
  • Click-through an application or a system
  • Very fast results from a done work

Semi-Smart Monkey Testing

Having some experience and improved testing skills the Dumb Monkey reaches the next stage in evolution: Semi-Smart Monkey Tester, who is the most effective when working in small groups.

Semi-Smart Monkey software testing services:

  • Initial level of planning and acceptance criteria
  • Guesstimate about required time and staff
  • Reading requirements before test run
  • Semi-technical bug reports, logs recording
  • Initial level of regression testing

Smart Monkey Testing

Smart Monkey is a crown of monkeys testing evolution. Having the army of Smart Monkeys it is possible to finalize vast testing projects, use tools and initial testing theory, bug trackers. Usually Smart Monkey area of activity is limited by his/her testing environment.

Smart monkeys are valuable for load and stress testing; they will find a significant number of bugs, but are also very expensive to develop.

Smart Monkey software testing services:

  • Repetitive planning and estimations
  • Attempts to analyze requirements before test run
  • Creating test scenarios
  • Issues Tracking Systems usage
  • Initial level of regression testing
  • Finding memory or resource bugs

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